Results for "theory discovery"

Models time evolution via hidden states.

Agents communicate via shared state.

Distributed agents producing emergent intelligence.

Increasing performance via more data.

Competitive advantage from proprietary models/data.

Describes likelihoods of random variable outcomes.

Variable whose values depend on chance.

Average value under a distribution.

Measure of spread around the mean.

Sample mean converges to expected value.

Sum of independent variables converges to normal distribution.

Eliminating variables by integrating over them.

Probability of data given parameters.

Flat high-dimensional regions slowing training.

Lowest possible loss.

Restricting updates to safe regions.

Converts constrained problem to unconstrained form.

Alternative formulation providing bounds.

Optimization under uncertainty.

Mechanism to disable AI system.

Requirement to provide explanations.

Limiting inference usage.

AI systems that perceive and act in the physical world through sensors and actuators.

Field combining mechanics, control, perception, and AI to build autonomous machines.

Hardware components that execute physical actions.

Continuous loop adjusting actions based on state feedback.

Control using real-time sensor feedback.

The physical system being controlled.

Algorithm computing control actions.

Using output to adjust future inputs.